We have some great people who work at INSPHERE - we fondly call each other INSPHEROs - and to help you get to know them a little better, here's a little interview with one of the team.

Meet INSPHERO and metrology engineer, Jon Sneller.


What do you do at INSPHERE?

I’m a metrology engineer – this means that my time is split between onsite measurement work, reporting and analysis for customers, and research work.


Can you tell us about some of the research work you have been doing?

I have primarily been working on developing the algorithms that run behind BASELiNE – INSPHERE’s rapid machine tool verification system. The algorithms process laser tracker measurements to identify changes in CNC machine tool performance over time.


What is most challenging about your role?

Being faced with a wide variety of problems - anything from complex mathematical questions to the practicalities of performing service measurement in extreme environments. This requires a wide range of knowledge, skills and experience, and the capability to use them in a variety of contexts.


What do you think INSPHERE offers that sets it apart from other businesses?

I think the people that make up INSPHERE are what makes us different. We have a huge range of experiences, specialties and skills considering the size of our team and the industries we operate in. This allows us to react to unusual problems or opportunities in a quick and effective way, and often with a new way of looking at a problem.


What do you like most about working for INSPHERE and what is your favourite office tradition?

I enjoy the camaraderie in the team and the great atmosphere. Everyone is welcome to bounce ideas around and have input on projects that you have an interest in. Grabbing a bacon sandwich on a Friday is a firm favourite!


How do you see metrology evolving in aerospace manufacturing?

Industry is becoming more data driven – machine learning is a field that has grown in recent years, and the algorithms often require lots of data. Metrology will have to provide the data for these new algorithms. This means that automated metrology will have to be employed to collect the volume of data required to generate the insights from the algorithms.


What do you enjoy doing when you are not working?

I enjoy being outside – ideally up a mountain somewhere, on my bike or skiing!


What was the most memorable gift you've received?

A bright red 1994 GT Tequesta. My first proper mountain bike!